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630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach
BACKGROUND: Novel strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)harboring diverse gene mutations have periodically emerged and are spreading globally. Importantly, mutations within the spike gene's receptor-binding domain (RBD)are linked to SARS-CoV-2 transmissibility,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677519/ http://dx.doi.org/10.1093/ofid/ofad500.696 |
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author | Ahmad, Saeed Idrees, Fahmeeda |
author_facet | Ahmad, Saeed Idrees, Fahmeeda |
author_sort | Ahmad, Saeed |
collection | PubMed |
description | BACKGROUND: Novel strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)harboring diverse gene mutations have periodically emerged and are spreading globally. Importantly, mutations within the spike gene's receptor-binding domain (RBD)are linked to SARS-CoV-2 transmissibility, disease severity, or decreased diagnostics vaccine efficacy. To identify SARS-CoV-2 variants rapidly, METHODS: we used a single primer-based PCR method in conjunction with Sanger sequencing. We focused on a region of the spike gene's RBD and S2 domains that contained lineage-defining mutational combinations. RESULTS: The genetic data obtained showed that delta and omicron subvariants were prevalent in the Khyber Pakhtunkhwa (KPK) region from January to February2022. Our survey found the highest prevalence of SARS-CoV-2 in the city of Peshawar (5.2%), followed by the districts of Mardan (1.8%), Karak (1.4%), Malakand(0.6%), and other districts. CONCLUSION: We recommend that SARS-CoV-2 be monitored continuously to detect single-nucleotide polymorphisms (SNPs) that are causally linked to the emergence of new lineages. In resource-constrained settings, our method provides a rapid and cost-effective detection assay for SARS-CoV-2. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10677519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106775192023-11-27 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach Ahmad, Saeed Idrees, Fahmeeda Open Forum Infect Dis Abstract BACKGROUND: Novel strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)harboring diverse gene mutations have periodically emerged and are spreading globally. Importantly, mutations within the spike gene's receptor-binding domain (RBD)are linked to SARS-CoV-2 transmissibility, disease severity, or decreased diagnostics vaccine efficacy. To identify SARS-CoV-2 variants rapidly, METHODS: we used a single primer-based PCR method in conjunction with Sanger sequencing. We focused on a region of the spike gene's RBD and S2 domains that contained lineage-defining mutational combinations. RESULTS: The genetic data obtained showed that delta and omicron subvariants were prevalent in the Khyber Pakhtunkhwa (KPK) region from January to February2022. Our survey found the highest prevalence of SARS-CoV-2 in the city of Peshawar (5.2%), followed by the districts of Mardan (1.8%), Karak (1.4%), Malakand(0.6%), and other districts. CONCLUSION: We recommend that SARS-CoV-2 be monitored continuously to detect single-nucleotide polymorphisms (SNPs) that are causally linked to the emergence of new lineages. In resource-constrained settings, our method provides a rapid and cost-effective detection assay for SARS-CoV-2. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10677519/ http://dx.doi.org/10.1093/ofid/ofad500.696 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Ahmad, Saeed Idrees, Fahmeeda 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title | 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title_full | 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title_fullStr | 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title_full_unstemmed | 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title_short | 630. SARS COV-2 genomic surveillance in Pakistan, an innovative approach |
title_sort | 630. sars cov-2 genomic surveillance in pakistan, an innovative approach |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677519/ http://dx.doi.org/10.1093/ofid/ofad500.696 |
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